Fuzzy Neural Network Control of Inverted Pendulum System
Kai-Ping Mao, Chi‐Hsu Wang · 2001
In this paper, we present Fuzzy Neural Network (FNN) structure and the back-propagation process, which tunes the weighting factors of FNN such that its output can follow the desired signal. Then they are applied to design an FNN controller to let the pole of an inverted pendulum be as vertical as possible. Simulation results show that the proposed approach produces better responses than the fuzzy-based Mamdani method.